AutoPass uses runtime and compiler evidence to guide LLM-generated optimization decisions, outperforming expert heuristics and classical autotuning methods. It achieves geometric-mean speedups of 1.043x on x86-64 and 1.117x on ARM64 systems without prior training or fine-tuning.
arxiv
arXiv cs.AI
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51d ago
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research
AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning
from English
Importance 3/3
New feature vs. leaders
New harness with differentiators
arXiv cs.AI
Microsoft Research
Mistral AI
OpenAI
AI agents
Code generation
Reasoning models
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